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___还是继续说笑吧！这几天牙疼，想听歌了，可正好有一个星期没听到PK唱新歌了。Maybe he is battling the winterstorm for the past week. Hopefully all is fine with him and his. Sing something new PK, or even a complaint is better than silence.

至少人家比我谦虚，这不："Thank you very much for your interest in CAFA ART INFO. Presently we are still working around the clock to make improvements in content, design and service. ——If you have any comments or suggestions about this website, please contact us. Thanks!"

就是开篇介绍文，有点官样文章，其余在国内众多网站中可能算很好的了，有些东西，可能还是老沈认识的人翻译的，如真是这样先说声对不起！

老沈本来也是比较谦虚的，刚来美时就有早先认识的好友忠告："Shen, no matter how good you are, in America, you have to sell yourself, because nobody will do that for you like they do in China." 江山易改本性难移。十年之后我才体会到这话是什么意思。所以过去的二十多年里如在这方面“学到了”什么的话，简单地讲就是: “过谦为轻，实话最重。” I‘ve been trying to sell myself, but so far haven't been sold yet. All of a sudden, I am at an age that is "Not-for-Sale" anymore. That sort of entitles me to say whatever I feel like.

呵呵：免不了的官样文，逃不出的当代风。译文不好怪翻译，没人去品原滋味。

[Edited at 2018-03-14 20:15 GMT]

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"Research Priorities for Robust and Beneficial Artificial Intelligence: an Open Letter" Future of Life Institute

RESEARCH PRIORITIES FOR ROBUST AND BENEFICIAL ARTIFICIAL INTELLIGENCE

Artificial intelligence (AI) research has explored a variety of problems and approaches since its inception, but for the last 20 years or so has been focused on the problems surrounding the construction of intelligent agents – systems that perceive and act in some environment. In this context, “intelligence” is related to statistical and economic notions of rationality – colloquially, the ability to make good decisions, plans, or inferences. The adoption of probabilistic and decision-theoretic representations and statistical learning methods has led to a large degree of integration and cross-fertilization among AI, machine learning, statistics, control theory, neuroscience, and other fields. The establishment of shared theoretical frameworks, combined with the availability of data and processing power, has yielded remarkable successes in various component tasks such as speech recognition, image classification, autonomous vehicles, machine translation, legged locomotion, and question-answering systems.

As capabilities in these areas and others cross the threshold from laboratory research to economically valuable technologies, a virtuous cycle takes hold whereby even small improvements in performance are worth large sums of money, prompting greater investments in research. There is now a broad consensus that AI research is progressing steadily, and that its impact on society is likely to increase. The potential benefits are huge, since everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools AI may provide, but the eradication of disease and poverty are not unfathomable. Because of the great potential of AI, it is important to research how to reap its benefits while avoiding potential pitfalls.

The progress in AI research makes it timely to focus research not only on making AI more capable, but also on maximizing the societal benefit of AI. Such considerations motivated the AAAI 2008-09 Presidential Panel on Long-Term AI Futures and other projects on AI impacts, and constitute a significant expansion of the field of AI itself, which up to now has focused largely on techniques that are neutral with respect to purpose. We recommend expanded research aimed at ensuring that increasingly capable AI systems are robust and beneficial: our AI systems must do what we want them to do. The attached research priorities document gives many examples of such research directions that can help maximize the societal benefit of AI. This research is by necessity interdisciplinary, because it involves both society and AI. It ranges from economics, law and philosophy to computer security, formal methods and, of course, various branches of AI itself.

In summary, we believe that research on how to make AI systems robust and beneficial is both important and timely, and that there are concrete research directions that can be pursued today.

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